A QoS ontology cooperated with feature models for non-functional requirements elicitation

Authors:
Ting Wang;Yuanjie Si;Xiao Xuan;Xinyu Wang;Xiaohu Yang;Shanping Li;Aleksander J. Kavs
Affiliations:
Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;State Street Corporation, Boston, MA
Venue:
Proceedings of the Second Asia-Pacific Symposium on Internetware
Year:
2010

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Abstract

Non-functional requirements (NFRs) are often regarded as the key success factor in building high quality software. However, most of the requirements elicitation methods are centered on discovering functional requirements only. This paper presents a novel NFRs elicitation approach aiming at empowering requirements analysts with a knowledge repository that aids to the process of capturing precise NFRs during elicitation interviews. The knowledge repository is composed of two layers: the upper layer of feature models and the lower layer of the QoS ontology. The case study of the stock trading domain illustrates the relationships and cooperations of the two layers.